![]() Viability of tokenization-free autoregressive sequence modeling at scale. ImageNet, and model audio from raw files. Extensive experiments show that MegabyteĪllows byte-level models to perform competitively with subword models on longĬontext language modeling, achieve state-of-the-art density estimation on Improved parallelism during decoding - unlocking better performance at reducedĬost for both training and generation. Transformers Generations War for Cybertron: Kingdom Titan WFC-K30 Autobot Ark Figure 169. Self-attention, much larger feedforward layers for the same compute, and Patches and a global model between patches. Megabyte segments sequences into patches and uses a local submodel within We proposed Megabyte, a multi-scale decoder architecture that enablesĮnd-to-end differentiable modeling of sequences of over one million bytes. ![]() Scale poorly to long sequences such as high-resolution images, podcasts, code, Download a PDF of the paper titled MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers, by Lili Yu and 5 other authors Download PDF Abstract: Autoregressive transformers are spectacular models for short sequences but
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